syssec-utd/py312-pylingual-v1-segmenter

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py312-pylingual-v1-segmenter

This model is a fine-tuned version of syssec-utd/py312-pylingual-v1-mlm on the syssec-utd/segmentation-py312-pylingual-v1-tokenized dataset. It achieves the following results on the evaluation set:

• —Loss: 0.0053
• —Precision: 0.9923
• —Recall: 0.9935
• —F1: 0.9929
• —Accuracy: 0.9982

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 2e-05
• —trainbatchsize: 48
• —evalbatchsize: 8
• —seed: 42
• —distributed_type: multi-GPU
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —num_epochs: 2
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.48.2
• —Pytorch 2.2.1+cu121
• —Datasets 2.18.0
• —Tokenizers 0.21.0